Getting Started
Overview Supported Languages File Types Test Mode Postman Collection Tools and APIs PricingDeveloper Guides
API Overview Authentication Errors Combine Workflows Performance PDF Generation API ReferenceSupported Languages
Java C# JavaScript Python PHP Other Languages Deployment Options Security Privacy Support About PSPDFKitPython PDF API — Getting Started
With PSPDFKit’s Python PDF API, you can quickly process your documents by making HTTP requests to one of our 50+ API tools. You can make a single request to one tool or combine API actions to generate, edit, OCR, and convert your document (1 document can have multiple API actions).
In this guide, we’ll go through how you can use Python to make HTTP requests with our API by:
-
1
-
2
-
3
This guide uses the requests
HTTP library. Keep in mind that you can use any HTTP client you want; this example uses requests
to demonstrate the principles of interacting with PSPDFKit API.
Installing the Required Dependencies
First, you need to make sure you have all the dependencies set up:
python -m pip install requests
You’ll also need to add document.pdf
and logo.png
files to the root of your Python project (the same folder you’ll be creating the pspdfkit.py
file in). You can use the sample files provided by us — document.pdf and logo.png — or use your own.
Now that you have your dependencies and assets set up, you’re ready to start making requests to PSPDFKit API.
First, create a pspdfkit.py
file which will contain your code to call PSPDFKit API. You can immediately import your dependencies as well:
import requests
import json
Next, you’ll prepare the payload.
Preparing the Payload
You can create your instructions
object:
instructions = {
'parts': [
{
'file': 'document'
}
],
'actions': [
{
'type': 'watermark',
'image': 'company-logo',
'width': '50%'
},
{
'type': 'watermark',
'text': 'Property of PSPDFKit',
'width': 150,
'height': 20,
'left': 0,
'bottom': '100%'
}
]
}
payload = {
'instructions': json.dumps(instructions)
}
Since PSPDFKit API expects the instructions
to be a JSON object, you first create a dictionary that you then convert to a JSON object using the json.dumps
function. In this example, you’ll be adding an image watermark. For more details on the available options specifically related to watermarking, refer to our watermarking guide.
Next, you need to prepare your assets to be sent:
files = {
'document': open('document.pdf', 'rb'),
'company-logo': open('logo.png', 'rb')
}
The requests
library expects a file
object to be passed in. So, open your assets here.
Making the Request
Finally, you’re ready to make your request. Make sure to replace the your_api_key_here
placeholder with your actual API key if it hasn’t been replaced yet:
headers = {
'Authorization': 'Bearer your_api_key_here'
}
response = requests.request(
'POST',
'https://api.pspdfkit.com/build',
headers=headers,
files=files,
data=payload,
stream=True
)
with open('result.pdf', 'wb') as fd:
for chunk in response.iter_content(chunk_size=8096):
fd.write(chunk)
This will make a request to PSPDFKit API, send your previously defined instructions
object and your assets to the API, and save the resulting PDF as result.pdf
in the same folder as your Python file.
And with that, you’re ready to make a request. Run python pspdfkit.py
, and result.pdf
should show up next to your Python file.
While this example made use of our watermarking API, this same approach can be used for all our available API tools.
Full Code
For your convenience, here’s the whole code. Just copy it and run it:
import requests
import json
instructions = {
'parts': [
{
'file': 'document'
}
],
'actions': [
{
'type': 'watermark',
'image': 'company-logo',
'width': '50%'
},
{
'type': 'watermark',
'text': 'Property of PSPDFKit',
'width': 150,
'height': 20,
'left': 0,
'bottom': '100%'
}
]
}
payload = {
'instructions': json.dumps(instructions)
}
headers = {
'Authorization': 'Bearer your_api_key_here'
}
files = {
'document': open('document.pdf', 'rb'),
'company-logo': open('logo.png', 'rb')
}
response = requests.request(
'POST',
'https://api.pspdfkit.com/build',
headers=headers,
files=files,
data=payload,
stream=True
)
with open('result.pdf', 'wb') as fd:
for chunk in response.iter_content(chunk_size=8096):
fd.write(chunk)